{"id":"W2891637459","doi":"10.18332/tid/95141","title":"Chemical analysis and hazard identification of the most common electronic cigarette liquids in nine European countries","year":2018,"lang":"en","type":"article","venue":"Tobacco Induced Diseases","topic":"Engine and Fuel Emissions","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hazard analysis; Identification (biology); Electronic cigarette; Hazard; Environmental health; Business; Medicine; Engineering; Chemistry; Organic chemistry; Biology; Reliability engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009069536,0.00009956541,0.000151277,0.0001055451,0.00004245215,0.00002238798,0.000153887,0.00003675844,0.00003966286],"category_scores_gemma":[0.00006324885,0.00008038175,0.00004511359,0.0006236404,0.00007010734,0.00009673534,0.00004824631,0.0001090275,0.000004213346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003784549,"about_ca_system_score_gemma":0.00002417119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002155464,"about_ca_topic_score_gemma":0.00007215154,"domain_scores_codex":[0.9993268,0.00003363641,0.0002356857,0.0001235569,0.0001133374,0.0001669815],"domain_scores_gemma":[0.9995481,0.00003381424,0.00003720287,0.0002854805,0.00003953281,0.00005588521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008340423,0.0002005401,0.5438511,0.000147402,0.0008493532,0.000006782575,0.0009288521,0.004042959,0.4378053,0.001064245,0.002652024,0.008367973],"study_design_scores_gemma":[0.0004165905,0.00004134161,0.850074,0.00007001408,0.0006743551,0.000001610577,0.00009340032,0.008536852,0.1389794,0.00013682,0.0006699794,0.0003055877],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998463,0.0004667354,0.00008692597,0.00009902978,0.00004344334,0.00007572288,0.00003395999,0.00006799943,0.0006632012],"genre_scores_gemma":[0.9997333,0.00006756494,0.000006011104,0.00004717407,0.00007182268,0.000006045027,0.000024567,0.00001584671,0.0000276424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3062229,"threshold_uncertainty_score":0.3277872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006077724754545507,"score_gpt":0.2230373384962913,"score_spread":0.2169596137417458,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}